市场可以乘除吗?金融市场中的非比例思维

K. Shue, Richard Townsend
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摘要

名义股票价格是任意的。因此,在评估一条新闻对股票价格的影响时,理性的投资者应该考虑百分比而不是美元。然而,美元价格的变化是无处不在的报道和讨论。这可能既导致也反映了投资者倾向于考虑以美元计算的新闻影响,从而导致对低价股票的新闻做出更极端的回报反应。我们发现许多结果与这种非比例思维一致。首先,在灵活控制规模后,低价股票具有更高的总波动率、特殊波动率和市场贝塔系数。为了确定价格的因果效应,我们表明波动性在预先宣布的股票分割后急剧增加,在反向股票分割后下降。在其他条件相同的情况下,股价较低的股票对公司特定新闻事件的反应也更为强烈。其经济影响是巨大的:一只股票的名义价格翻倍,其波动性、贝塔系数和对公司特定消息的回报反应就会下降20-30%。这些模式并非小股、流动性差的股票所独有;他们甚至持有最大的股票。非比例思维可以解释各种资产定价异常,如长期和短期反转,以及过去收益与波动率之间的负相关关系(即杠杆效应)。我们的分析还表明,风险(波动性或贝塔系数)与规模之间的负相关关系实际上是由名义价格而非基本面驱动的。
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Can the Market Multiply and Divide? Non-Proportional Thinking in Financial Markets
Nominal stock prices are arbitrary. Therefore, when evaluating how a piece of news should affect the price of a stock, rational investors should think in percentage rather than dollar terms. However, dollar price changes are ubiquitously reported and discussed. This may both cause and reflect a tendency of investors to think about the impact of news in dollar terms, leading to more extreme return responses to news for lower-priced stocks. We find a number of results consistent with such non-proportional thinking. First, lower-priced stocks have higher total volatility, idiosyncratic volatility, and market betas, after controlling flexibly for size. To identify a causal effect of price, we show that volatility increases sharply following pre-announced stock splits and drops following reverse stock splits. The returns of lower-priced stocks also respond more strongly to firm-specific news events, all else equal. The economic magnitudes are large: a doubling in a stock's nominal price is associated with a 20-30% decline in its volatility, beta, and return response to firm-specific news. These patterns are not exclusive to small, illiquid stocks; they hold even among the largest stocks. Non-proportional thinking can explain a variety of asset pricing anomalies such as long-run and short-run reversals, as well as the negative relation between past returns and volatility (i.e., the leverage effect). Our analysis also shows that the well-documented negative relation between risk (volatility or beta) and size is actually driven by nominal prices rather than fundamentals.
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